Youssef Mroueh

According to our database, Youssef Mroueh authored at least 71 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large Language Models can be Strong Self-Detoxifiers.

Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

CoRR, 2024

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking.

Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh

CoRR, 2024

Information Theoretic Guarantees For Policy Alignment In Large Language Models.

Youssef Mroueh

CoRR, 2024

Distributional Preference Alignment of LLMs via Optimal Transport.

Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross

CoRR, 2024

GP-MoLFormer: A Foundation Model For Molecular Generation.

Jerret Ross, Brian Belgodere, Samuel C. Hoffman, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das

CoRR, 2024

Risk Aware Benchmarking of Large Language Models.

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Physics-enhanced deep surrogates for partial differential equations.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

Nat. Mac. Intell., December, 2023

Risk Assessment and Statistical Significance in the Age of Foundation Models.

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross

CoRR, 2023

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.

Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

Learning with Stochastic Orders.

Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Large-scale chemical language representations capture molecular structure and properties.

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

Nat. Mac. Intell., December, 2022

Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks.

David Alvarez-Melis, Yair Schiff, Youssef Mroueh

Trans. Mach. Learn. Res., 2022

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

J. Artif. Intell. Res., 2022

Effective Dynamics of Generative Adversarial Networks.

Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang

CoRR, 2022

Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence.

Carles Domingo-Enrich, Youssef Mroueh

CoRR, 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.

Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Tighter Sparse Approximation Bounds for ReLU Neural Networks.

Carles Domingo-Enrich, Youssef Mroueh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Cycle Consistent Probability Divergences Across Different Spaces.

Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Physics-enhanced deep surrogates for PDEs.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

CoRR, 2021

Do Large Scale Molecular Language Representations Capture Important Structural Information?

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

CoRR, 2021

Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics.

Carles Domingo-Enrich, Youssef Mroueh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Measuring Generalization with Optimal Transport.

Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fair Mixup: Fairness via Interpolation.

Ching-Yao Chuang, Youssef Mroueh

Proceedings of the 9th International Conference on Learning Representations, 2021

Tabular Transformers for Modeling Multivariate Time Series.

Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman

Proceedings of the IEEE International Conference on Acoustics, 2021

On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow.

Youssef Mroueh, Truyen Nguyen

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Improved Mutual Information Estimation.

Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff

CoRR, 2020

Active learning of deep surrogates for PDEs: Application to metasurface design.

Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

CoRR, 2020

Kernel Stein Generative Modeling.

Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang

CoRR, 2020

Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis.

Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross

CoRR, 2020

Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

Adam Block, Youssef Mroueh, Alexander Rakhlin

CoRR, 2020

Unbalanced Sobolev Descent.

Youssef Mroueh, Mattia Rigotti

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets.

Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.

Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Efficiency in Large-Scale Decentralized Distributed Training.

Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Wasserstein Style Transfer.

Youssef Mroueh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces.

David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Implicit Text Generation via Feature Matching.

Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Decentralized Parallel Algorithm for Training Generative Adversarial Nets.

Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das

CoRR, 2019

Sobolev Independence Criterion.

Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Wasserstein Barycenter Model Ensembling.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu

Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Adversarial Image Captioning.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Learning Implicit Generative Models by Matching Perceptual Features.

Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Semantic Alignment for Improved Image Captions.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sobolev Descent.

Youssef Mroueh, Tom Sercu, Anant Raj

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Implicit Kernel Learning.

Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport.

Youssef Mroueh, Tom Sercu, Anant Raj

CoRR, 2018

Regularized Finite Dimensional Kernel Sobolev Discrepancy.

Youssef Mroueh

CoRR, 2018

Improved Image Captioning with Adversarial Semantic Alignment.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

CoRR, 2018

Sobolev GAN.

Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Semi-Supervised Learning with IPM-based GANs: an Empirical Study.

Tom Sercu, Youssef Mroueh

CoRR, 2017

Fisher GAN.

Youssef Mroueh, Tom Sercu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

McGan: Mean and Covariance Feature Matching GAN.

Youssef Mroueh, Tom Sercu, Vaibhava Goel

Proceedings of the 34th International Conference on Machine Learning, 2017

Self-Critical Sequence Training for Image Captioning.

Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploring ROI size in deep learning based lipreading.

Alexandros Koumparoulis, Gerasimos Potamianos, Youssef Mroueh, Steven J. Rennie

Proceedings of the 14th International Conference on Auditory-Visual Speech Processing, 2017

Local Group Invariant Representations via Orbit Embeddings.

Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Co-Occurring Directions Sketching for Approximate Matrix Multiply.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Audio and visual modality combination in speech processing applications.

Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos

Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2017

2016

Co-Occuring Directions Sketching for Approximate Matrix Multiply.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

CoRR, 2016

2015

From bits to information: learning meets compressive sensing.

Youssef Mroueh

PhD thesis, 2015

Random Maxout Features.

Youssef Mroueh, Steven J. Rennie, Vaibhava Goel

CoRR, 2015

Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

CoRR, 2015

Learning with Group Invariant Features: A Kernel Perspective.

Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Convex Learning of Multiple Tasks and their Structure.

Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco

Proceedings of the 32nd International Conference on Machine Learning, 2015

Deep multimodal learning for Audio-Visual Speech Recognition.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns.

Youssef Mroueh

CoRR, 2014

On efficiency and low sample complexity in phase retrieval.

Youssef Mroueh, Lorenzo Rosasco

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

q-ary Compressive Sensing

Youssef Mroueh, Lorenzo Rosasco

CoRR, 2013

Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements.

Youssef Mroueh, Lorenzo Rosasco

CoRR, 2013

Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?

Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso A. Poggio

CoRR, 2013

2012

Multiclass Learning with Simplex Coding.

Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012